code: def explore_array(
      item: Dict[str, Any]
  ) -> List[List[ParameterBaseTypes]]:
      """Return possible parameter values for the `array` parameter type.
  
      Args:
          item: dictionary containing details on the parameter such as default, min and max values.
      """
  
      candidates = []
      if "default" in item and item["default"]:
          candidates.append(item["default"])
  
      item_choices = []
      maxlen = 0
  
      # In the case where the length of the array isn't defined.
      if not isinstance(item["items"], list):
          return []
  
      for item_of in item["items"]:
          choices = handle_property_type(item_of["type"], item_of)
          maxlen = max(maxlen, len(choices))
          item_choices.append(choices)
  
      # pad to same length
      for i in range(len(item_choices)):
          item_choices[i] = maxlen * item_choices[i]
          item_choices[i] = item_choices[i][:maxlen]
  
      merged = list(zip(*item_choices)) + candidates
      return [list(tup) for tup in merged]
  
file_path: ludwig/ludwig/config_sampling/parameter_sampling.py
imports: import random
  from typing import Any, Dict, List, Union
  from ludwig.schema.metadata.parameter_metadata import ExpectedImpact
label_desc: Use image node_id 2 for calling a global function with example usage: explore_array(item) and returns: unknown, list